About YouTo be successful in this role, we are looking for candidates to have the following skills and experience:Essential Criteria1. PhD awarded in Computer Science, Data Science, or a related field, or near completion*2. Strong background in machine learning, with some expertise in deep learning, federated learning or privacy techniques.3. Demonstrated experience in implementing privacy-preserving mechanisms for machine learning.4. Proficiency in programming languages such as Python, with experience in machine learning libraries (e.g., PyTorch, TensorFlow).5. Excellent problem-solving skills and ability to work independently on complex research problems.6. Strong communication skills, both written and verbal, with the ability to explain complex concepts to diverse audiences. * Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will be made at Grade 5, spine point 30 with the title of Research Assistant. Upon confirmation of the award of the PhD, the job title will become Research Associate and the salary will increase to Grade 6.Desirable Criteria1. Experience working with healthcare data and understanding of related privacy regulations2. Track record of publications in reputable journals or conferences in the field of federated learning or privacy-preserving AI.3. Experience in collaborative research projects or working with industry partners.Downloading a copy of our Job DescriptionFull details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the next page after you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process. ## Further information This post is subject to Disclosure and Barring Service clearances. We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community. We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's. We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible. To find out how our managers will review your application, please take a look at our ‘ [How we Recruit]( pages.